Paper Citation Record · LEDGER

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling

As of 17 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.11936.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.11936 v3

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:19.391756Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact2
verified fuzzy21
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79c36c2f-3a9c-4400-a9f9-36a578188ccd · outbound

This paper cites Cfts-gan: Continual few-shot teacher student for generative adversarial networks.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Cfts-gan: Continual few-shot teacher student for generative adversarial networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.937149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6c9bbf4-d586-4e03-bdc1-0f2ea61a76c7 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Memory aware synapses: Learning what (not) to forget

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.926026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 733a45c3-cd4c-4929-9b3d-f38e1a034c18 · outbound

This paper cites Reverse-time diffusion equation models.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Reverse-time diffusion equation models

Reference 3

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Source-reported events for the cited work

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Observation 79c977f1-8163-4b92-8057-7f70f32014dc · outbound

This paper cites Efficient lifelong learning with a-gem.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Efficient lifelong learning with a-gem

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.907977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e81acce3-caab-4bcc-88de-d20a3b5ca42d · outbound

This paper cites Visual--semantic graph matching net for zero-shot learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Visual--semantic graph matching net for zero-shot learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.897128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45aaac16-658f-41aa-94a5-cb020d123c5c · outbound

This paper cites Association: Remind Your GAN not to Forget.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Association: Remind Your GAN not to Forget

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:50:19.559233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d22674d-bd46-4478-8e15-ed2fb2946dc5 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.238134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d7d1dd0-1ecd-4e16-8c55-d38a11ec27b2 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Distilling the Knowledge in a Neural Network

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.241712Z

Source-reported events for the cited work

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Observation 8b6b9ff9-a232-4ec9-859f-71cda076a684 · outbound

This paper cites Denoising diffusion probabilistic models.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Denoising diffusion probabilistic models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.246020Z

Source-reported events for the cited work

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Observation 8404383b-9a64-464a-9534-d77aac821b1a · outbound

This paper cites A unified semantic embedding: Relating taxonomies and attributes.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling A unified semantic embedding: Relating taxonomies and attributes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.872922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c821181-ebf5-48b1-a3bc-467f7fc2c8ad · outbound

This paper cites Generating instance-level prompts for rehearsal-free continual learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Generating instance-level prompts for rehearsal-free continual learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.862048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e2c84a1c-5b4a-4ad6-ab2a-88f48f113158 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Overcoming catastrophic forgetting in neural networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.257790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 384978c6-248b-401f-9e50-2dde36899089 · outbound

This paper cites Learning multiple layers of features from tiny images.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Learning multiple layers of features from tiny images

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.261136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e297e3-ac6b-4539-8571-5e4b0813b2de · outbound

This paper cites Gradient-based learning applied to document recognition.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Gradient-based learning applied to document recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.264817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8509039e-eb06-4ff6-9042-2dcac9056046 · outbound

This paper cites Vs-boost: Boosting visual-semantic association for generalized zero-shot learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Vs-boost: Boosting visual-semantic association for generalized zero-shot learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.828483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e3bea23-c015-4266-b0f6-292a964e797d · outbound

This paper cites Learning without forgetting.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Learning without forgetting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.815869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62e2c073-2d82-4f37-86e1-d6537df51896 · outbound

This paper cites Parameter-efficient fine-tuning for continual learning: A neural tangent kernel perspective.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Parameter-efficient fine-tuning for continual learning: A neural tangent kernel perspective

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-15T20:50:19.531844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 971d8f51-4762-4b53-a335-4fa7a9b9db40 · outbound

This paper cites Gradient episodic memory for continual learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Gradient episodic memory for continual learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.279359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ed0b88-a6a7-4798-adc4-128b989a86c6 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.282762Z

Source-reported events for the cited work

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Observation 64d33c7c-51f2-422b-9bfa-1479cd5c5edb · outbound

This paper cites Continual Learning of Diffusion Models with Generative Distillation.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Continual Learning of Diffusion Models with Generative Distillation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.286578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ecdbcf-2b78-44b6-8c9a-ba9911146b46 · outbound

This paper cites Dual adversarial semantics-consistent network for generalized zero-shot learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Dual adversarial semantics-consistent network for generalized zero-shot learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.790035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d69de2ed-bcf9-4f2c-a948-c84a1ac54a46 · outbound

This paper cites Improved denoising diffusion probabilistic models.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Improved denoising diffusion probabilistic models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.294228Z

Source-reported events for the cited work

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Observation 54762bc7-d988-431a-a65a-3ba5aa2ddfcf · outbound

This paper cites Automated flower classification over a large number of classes.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Automated flower classification over a large number of classes

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.297790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f229d5cc-55d4-4495-9cfd-3d10008603ca · outbound

This paper cites Continual lifelong learning with neural networks: A review.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Continual lifelong learning with neural networks: A review

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.301324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e136ba7-155d-4b4c-b15d-de35bf96f5da · outbound

This paper cites Continual Learning with Fully Probabilistic Models.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Continual Learning with Fully Probabilistic Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.305795Z

Source-reported events for the cited work

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Observation a1d5e324-2ce5-4317-8ae7-cfcb3efd2a73 · outbound

This paper cites Experience replay for continual learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Experience replay for continual learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.309578Z

Source-reported events for the cited work

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Observation 94861ebb-b07d-4912-83da-c0038e02bffc · outbound

This paper cites Learning to approximate a bregman divergence.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Learning to approximate a bregman divergence

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.313267Z

Source-reported events for the cited work

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Observation 62a3d0f2-3e8e-40e2-b3fc-caf9b227302c · outbound

This paper cites Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.744979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9380c05e-0e09-4cec-9ddc-184ec70326ec · outbound

This paper cites A closer look at rehearsal-free continual learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling A closer look at rehearsal-free continual learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.733309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42fcff03-16bc-4718-a64f-efa137a521c2 · outbound

This paper cites Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.324964Z

Source-reported events for the cited work

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Observation 7159fb7c-e688-4f75-92b7-785eea33b9e9 · outbound

This paper cites Denoising Diffusion Implicit Models.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Denoising Diffusion Implicit Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.328974Z

Source-reported events for the cited work

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Observation 0c050475-d06b-4d0e-9790-0787e26973d8 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Score-based generative modeling through stochastic differential equations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.332939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8df7990-d303-40d9-95fa-a5f50d696df1 · outbound

This paper cites Create your world: Lifelong text-to-image diffusion.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Create your world: Lifelong text-to-image diffusion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.713608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a47a5bea-5068-4b08-982c-502f8dd27e01 · outbound

This paper cites Cam-gan: Continual adaptation modules for generative adversarial networks.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Cam-gan: Continual adaptation modules for generative adversarial networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.701787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f2ae99f-d9d6-45c7-96ee-87c600de165a · outbound

This paper cites A connection between score matching and denoising autoencoders.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling A connection between score matching and denoising autoencoders

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.343292Z

Source-reported events for the cited work

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Observation 9ca35189-c4d2-422e-9993-af49182f8c6e · outbound

This paper cites The Caltech-UCSD Birds-200-2011 Dataset.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling The Caltech-UCSD Birds-200-2011 Dataset

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.346993Z

Source-reported events for the cited work

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Observation 64a6aea7-0a2f-486d-90ad-8fddde64c41a · outbound

This paper cites Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.676310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82244565-3958-422f-ac3b-b44b81441b97 · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.664817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 466570bf-ef84-4761-9a61-ca473d2080ad · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.653713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c2b8b7e-bfe9-40bb-9034-94a65371d32e · outbound

This paper cites Learning to prompt for continual learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Learning to prompt for continual learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.642007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c585aae0-7294-4dba-acbf-240bbe385ac0 · outbound

This paper cites Lifelong twin generative adversarial networks.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Lifelong twin generative adversarial networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.631039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5003818-fb38-49b7-9bc7-d4497d1bc7d1 · outbound

This paper cites Lifelong teacher-student network learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Lifelong teacher-student network learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.619719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 316495c6-2983-45ba-9da3-4b9949e6bfa3 · outbound

This paper cites Gradient surgery for multi-task learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Gradient surgery for multi-task learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.370729Z

Source-reported events for the cited work

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Observation a54a6dde-e04e-4a5d-b494-6831cf4aa79d · outbound

This paper cites Continual learning through synaptic intelligence.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Continual learning through synaptic intelligence

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.374272Z

Source-reported events for the cited work

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Observation 34769943-8341-4563-8565-4b493423f8f3 · outbound

This paper cites CLoG: Benchmarking Continual Learning of Image Generation Models.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling CLoG: Benchmarking Continual Learning of Image Generation Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.377711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a2b9da3-52db-46d5-823f-e26358215d74 · outbound

This paper cites S3a: Towards realistic zero-shot classification via self structural semantic alignment.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling S3a: Towards realistic zero-shot classification via self structural semantic alignment

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.595126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f122bbee-3aac-4cb5-a17c-6d51b9a441fe · outbound

This paper cites Invertavatar: Incremental gan inversion for generalized head avatars.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Invertavatar: Incremental gan inversion for generalized head avatars

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:50:19.583786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f278cd7-f751-4999-9c84-de21a88cdce7 · outbound

This paper cites Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.388249Z

Source-reported events for the cited work

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Observation 476228ee-2ab9-4803-af9f-be299910662f · outbound

This paper cites Expandable subspace ensemble for pre-trained model-based class-incremental learning.

CCD: Continual Consistency Diffusion for Lifelong Generative Modeling Expandable subspace ensemble for pre-trained model-based class-incremental learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:19.391756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.